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An innovative distributed scatterer based time-series InSAR method over underground mining region

机译:基于创新的地下挖掘区域基于时间序列的时间序列INSAR方法

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Advanced Time series InSAR (ATS-InSAR) is generally refer to those TS-InSAR methods with an external Distributed Scatterer (DS) selection module, e.g. SqueeSAR and GEOS-ATSA. It is being known as a very efficient tool for monitoring the ground deformation over suburban or even non-urban regions with great success. However, within Appin Colliery, which is located in the southeastern corner of the Southern Coalfield, New South Wales (NSW), Australia. C-band ASAR based ATS-InSAR failed to produce reasonable outcome due to the underground mining effect. This paper presents a modified ATS-InSAR method for mapping the ground deformation over underground mining region. Firstly, traditional reliable DS pixels and Persistent Scatterer (PS) pixels are selected to form the initial triangular irregular network (TIN) reference network. Then the ground deformation and DEM error with respect to these Measurement Scatterer (MS) pixels are solved through a robust regression estimator. Due to the losses of coherence, the general underground mining pattern cannot be formed when using C-band image stacks. Therefore, in order to achieve the best detail, modified MS pixel selection method is conducted by including less reliable MS pixels based on a weighted least square method. Moreover, final result proved to be efficient to offer sufficient information to associated councils and department for risk management purpose.
机译:高级时间序列insar(ATS-Insar)通常是指具有外部分布式散射器(DS)选择模块的TS-Insar方法,例如,挤压和地球atsa。它被称为一种非常有效的工具,用于监测郊区甚至非城市地区的地面变形,甚至取得了巨大的成功。然而,在Appin Colliery内,位于澳大利亚新南威尔士州南部煤田的东南角,澳大利亚。基于C频段ASAR基于地下采矿效果,基于ASAR基于ATS-INSAR未能产生合理的结果。本文介绍了一种改进的ATS-Insar方法,用于在地下采矿区上映射地面变形。首先,选择传统的可靠DS像素和持久性散射器(PS)像素以形成初始三角形不规则网络(TIN)参考网络。然后通过强大的回归估计器解决了关于这些测量散射体(MS)像素的地面变形和DEM误差。由于相干损失,在使用C波段图像堆栈时,不能形成一般的地下挖掘模式。因此,为了实现最佳细节,通过包括基于加权最小二乘法的较少可靠的MS像素来进行修改的MS像素选择方法。此外,最终结果证明是有效的,为相关的委员会和风险管理部门提供足够的信息。

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